Triple
T20541216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sol Kaplan |
E504336
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object |
Red Skies of Montana
Red Skies of Montana is a 1952 American adventure drama film about smokejumpers battling forest fires in the Montana wilderness.
|
E1437246
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Red Skies of Montana | Statement: [Sol Kaplan, workedOn, Red Skies of Montana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Skies of Montana Context triple: [Sol Kaplan, workedOn, Red Skies of Montana]
-
A.
Montana Sky
"Montana Sky" is a song featured as a track on the album "The Album."
-
B.
Wild Montana Skies
"Wild Montana Skies" is a popular country-folk song by John Denver, celebrated for its vivid imagery of Montana’s landscapes and themes of freedom and homecoming.
-
C.
Big Sky
Big Sky is an NCAA Division I collegiate athletic conference primarily comprising universities in the western United States.
-
D.
Big Sky
Big Sky is an American crime drama television series centered on private detectives investigating abductions and other dark mysteries in rural Montana.
-
E.
Montana Story
"Montana Story" is a 2021 independent drama film set on a Montana ranch, following estranged siblings confronting family trauma and long-buried secrets.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Red Skies of Montana Triple: [Sol Kaplan, workedOn, Red Skies of Montana]
Generated description
Red Skies of Montana is a 1952 American adventure drama film about smokejumpers battling forest fires in the Montana wilderness.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Red Skies of Montana Target entity description: Red Skies of Montana is a 1952 American adventure drama film about smokejumpers battling forest fires in the Montana wilderness.
-
A.
Montana Sky
"Montana Sky" is a song featured as a track on the album "The Album."
-
B.
Wild Montana Skies
"Wild Montana Skies" is a popular country-folk song by John Denver, celebrated for its vivid imagery of Montana’s landscapes and themes of freedom and homecoming.
-
C.
Big Sky
Big Sky is an NCAA Division I collegiate athletic conference primarily comprising universities in the western United States.
-
D.
Big Sky
Big Sky is an American crime drama television series centered on private detectives investigating abductions and other dark mysteries in rural Montana.
-
E.
Montana Story
"Montana Story" is a 2021 independent drama film set on a Montana ranch, following estranged siblings confronting family trauma and long-buried secrets.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a29224f081908298d104161c5bb9 |
completed | April 20, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08a567f39c819098b75ea029b3f740 |
completed | May 16, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_6a08a66836d88190a63b42663455e491 |
completed | May 16, 2026, 5:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08a6e4bd1c8190969cf969812a2e56 |
completed | May 16, 2026, 5:18 p.m. |
Created at: April 16, 2026, 11:37 a.m.